Putting IBM Watson to Work In Healthcaresauterv/DSS/Watson for Healthcare UMSL 042512.pdf ·...

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© 2012 International Business Machines Corporation Putting IBM Watson to Work In Healthcare Barry Mason Vice President, Global Healthcare Payers

Transcript of Putting IBM Watson to Work In Healthcaresauterv/DSS/Watson for Healthcare UMSL 042512.pdf ·...

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© 2012 International Business Machines Corporation

Putting IBM Watson to Work In Healthcare

Barry MasonVice President, Global Healthcare Payers

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© 2012 International Business Machines Corporation2

Watson Wins! Largest Jeopardy! in 5 years

34.5M Jeopardy! Viewers 1.3B+ Impressions

Over 10,000 Media Stories 11,000 attend watch events 2.5M+ Videos Views (top 10

only) 12,582 Twitter 25,763 Facebook Fans

On February 14, 2011, IBM Watson changed history introducing a system that rivaled a human’s ability to answer questions posed in natural language with speed, accuracy and confidence.

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© 2012 International Business Machines Corporation3

Big Data

Content Analytics

IBM Technology Depth

Business Analytics

Databases / Data Warehouses

2880 Processing Cores

16 Terabytes Memory (RAM) – 20TB Disk

System Specifications

90 IBM P750 Servers

80 Teraflops (80 trillion operations per second)

Workload Optimized Systems

In the past 5 years IBM has spent over $14B in analytical acquisitions and $6B in R&D annually

IBM Watson a look behind the scenes

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Agenda

What is IBM Watson and why is it important?What is IBM Watson and why is it important?

How is IBM putting Watson to work?How is IBM putting Watson to work?

What can we expect in the future?What can we expect in the future?

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+ +

An opportunity to think and act in new ways—economically, socially and technically.

The World is Getting Smarter

IntelligentInstrumented Interconnected

=

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There are over 2.3B people on the Web today ...

… and a trillion connected objects – cars, appliances, cameras, roadways, pipelines

Data is getting more social. . .

…20M articles on Wikipedia

…30B pieces of Facebook content are shared monthly

…There are 156M public blogs

Data volume is expanding at an incredible rate

…data will grow 800% in the next five years

…Unstructured data grows 10-50X faster than structured

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Businesses on a Smarter Planet are “dying of thirst in an ocean of data”

1 in 2business leaders don’t

have access to data they need

83%of CIO’s cited BI and

analytics as part of their visionary plan

54%of companies use

analytics for competitive advantage

80% of the world’s data today is unstructured

90% of the world’s

data was created in the last two

years

20%is the amount of

available data traditional systems

leverages

Source: GigaOM, Software Group, IBM Institute for Business Value"

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© 2012 International Business Machines Corporation8

Medical information is doubling every 5 years, much of which is unstructured

81% of physicians report spending 5 hours or less per month reading medical journals

Healthcare Industry is beset with some of the most complex information challenges we collectively face

Source: International Journal of Circumpolar Health, DoctorDirectory.com, Institute for Medicine"

“Medicine has become too complex (and only) about 20% of the knowledge clinicians use today is evidence-based”

- Steven Shapiro Chief Medical and Scientific Officer, UPMC

“Medicine has become too complex (and only) about 20% of the knowledge clinicians use today is evidence-based”

- Steven Shapiro Chief Medical and Scientific Officer, UPMC

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Traditional IT• Structured data (local)• Deterministic Applications• Search Oriented• Small Data• Machine Language

Emerging IT• Structured & unstructured (global)• Probabilistic Applications• Discovery Oriented• Small and Big Data• Natural Language

Today’s business challenges are causing organizations to rethink what it will take to get ahead tomorrow

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Brief History of IBM Watson

R&D

DemonstrationCommercialization

Cross-industry Applications

IBMResearch Project (2006 – )

Jeopardy!Grand

Challenge(Feb 2011)

Watson for

Healthcare(Aug 2011 –)

Watson Industry

Solutions(2012 – )

Watson for Financial

Services(Mar 2012 – )

Expansion

From inspiration and invention, through innovation and

industrialization, ending with industry transformation.

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99%60%10%

Understands natural language and human speech

Adapts and Learns from user selections and responses

Generates and evaluates

hypothesis for better outcomes

3

2

1

…built on a massively parallel probabilistic evidence-based architecture optimized for POWER7

IBM Watson brings together a set of transformational technologies to drive optimized outcomes

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Why is it so hard for computers to understand humans

Where wasEinstein

born?

Source: Excel File, Database, etc.Source: Excel File, Database, etc. Source: Jack Welch and the GE Way, Robert SlaterSource: Jack Welch and the GE Way, Robert Slater

Source: Excel File, Database, etc.Source: Excel File, Database, etc. Source: http://www.schaeffenacker-ulm.de/en/otto.htmlSource: http://www.schaeffenacker-ulm.de/en/otto.html

Structured DataStructured Data Unstructured DataUnstructured Data

Welch ran this?

“One day, from among his city views of Ulm, Otto chose a water color to send to Albert Einstein as a remembrance of Einstein´s

birthplace”

“If leadership is an art then surely Jack Welch has proved

himself a master painter during his tenure at GE”

Physicist Birth Place

A. Einstein Ulm

N. Bohr Copenhagen

M. Curie Warsaw

Source: IBM Research

Person Organization

L. Gerstner IBM

J. Welch GE

W. Gates Microsoft

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Informed Decision Making: Search vs. Watson

Decision MakerSearch Engine

Finds Documents containing Keywords

Delivers Documents based on Popularity

Has Question

Distills to 2-3 Keywords

Reads Documents, Finds Answers

Finds & Analyzes EvidenceWatson

Understands Question

Produces Possible Answers & Evidence

Delivers Response, Evidence & Confidence

Analyzes Evidence, Computes Confidence

Asks NL Question

Considers Answer & Evidence

Decision Maker

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Sym

ptom

sUTI

Diabetes

Influenza

Hypokalemia

Renal Failure

no abdominal painno back pain

no coughno diarrhea

(Thyroid Autoimmune)

Esophagitis

pravastatinAlendronate

levothyroxinehydroxychloroquine

Diagnosis Models

frequent UTI

cutaneous lupus

hyperlipidemiaosteoporosis

hypothyroidism

Symptom

sFam

. HistoryPat. HistoryM

edicationsFindings Confidence

difficulty swallowing

dizziness

anorexia

fever dry mouththirst

frequent urination

Fam

ily

His

tor

y

Graves’ Disease

Oral cancerBladder cancerHemochromatosisPurpura

Patie

nt

His

tor

y

Med

icat

ions

Find

ingssupine 120/80 mm HG

urine dipstick: leukocyte esterase

urine culture: E. Coliheart rate: 88 bpm

Sym ptom sFam ily H istoryPatient H istory

M edicationsFindings

Putting the proper pieces together at the point of impact can be life changing

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1 in 41 in 4individuals will die from cancer

��

20%20%of cancer cases receive the wrong diagnosis initially with

some as high as 44%

� ��

Source: American Cancer Society, National Health Institute

X

$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$

263.8B263.8Boverall costs of cancer in

the US in 2010

Working Together to Beat Cancer

Cancer is an insidious disease and the second highest cause of death

IBM+

+Working Together to B eat Cancer

IBM+

3X3Xrate cancer cost climbs vs. std.

health costs or 15-18% / yr.

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IBM Watson and WellPoint putting Watson to work

WellPoint is doing it!

What if …healthcare could leverage the latest insights improving the quality of patient care while lowering costs?

• First commercial applications of the IBM Watson technology

• Processing treatment requests faster and more efficiently

• Extended data assessment based on research, clinical, medical, market and patient data

• Applied learning based on action taken and outcome derived

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Where to put Watson to work

Watson Capabilities Best Fit for Watson

Natural language understanding

Hypothesis generation and confidence scoring

Iterative Question/Answering

Broad domain of unstructured data

Machinelearning

1

2

3

4

5

Problems that require the analysis of unstructured data

Critical questions that require decision support with prioritized recommendations and evidence

High value in decision support

Leverage scale to maximize machine learning and improve outcomes over time

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From battling humans on Jeopardy! to changing the way the world thinks, acts, and operates

IBM Watson and Smarter Analytics have the capabilities to address grand business and societal challenges

Contact Center

Healthcare Financial Services

Government

Diagnostic/treatment assistance, evidenced-based insights, collaborative medicine

Investment and retirement planning, institutional trading and decision support

Call center and tech support services, enterprise knowledge management, consumer insight

Public safety, improved information sharing, security, fraud and abuse prevention

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